Dataset Open Access

Data Supplement: U.S. state-level projections of the spatial distribution of population consistent with Shared Socioeconomic Pathways.

Zoraghein, H.; O'Neill, B.

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    <subfield code="a">Data Supplement: U.S. state-level projections of the spatial distribution of population consistent with Shared Socioeconomic Pathways.</subfield>
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    <subfield code="a">&lt;p&gt;These data are to supplement the following in-press publication:&amp;nbsp;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Zoraghein, H., and O&amp;#39;Neill B. (2020).&amp;nbsp;U.S. state-level projections of the spatial distribution of population consistent with Shared Socioeconomic Pathways. Sustainability.&lt;/p&gt;

&lt;p&gt;The data herein were generated using the `population_gravity` model which can be found here:&amp;nbsp;&amp;nbsp;&lt;a href="https://github.com/IMMM-SFA/population_gravity"&gt;https://github.com/IMMM-SFA/population_gravity&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;CONTENTS:&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;zoraghein-oneill_population_gravity_inputs_outputs.zip&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;contains a directory for each U.S. state for inputs and outputs&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;inputs&lt;/strong&gt; contain&amp;nbsp;the following:
	&lt;ul&gt;
		&lt;li&gt;&lt;strong&gt;&amp;lt;state-name&amp;gt;_&amp;lt;urban or rural&amp;gt;_&amp;lt;yr&amp;gt;_1km.tif:&amp;nbsp;&lt;/strong&gt;&amp;nbsp;Urban and Rural population GeoTIF rasters at a 1km resolution
		&lt;ul&gt;
			&lt;li&gt;value per grid cell: number of humans (float)&lt;/li&gt;
			&lt;li&gt;crs:&amp;nbsp;EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected&lt;/li&gt;
			&lt;li&gt;nodata value:&amp;nbsp;&amp;nbsp;-3.40282e+38&lt;/li&gt;
		&lt;/ul&gt;
		&lt;/li&gt;
		&lt;li&gt;&lt;strong&gt;&amp;lt;state-name&amp;gt;_mask_short_term.tif:&amp;nbsp;&lt;/strong&gt; Mask GeoTIF rasters at a 1km resolution that contain values from 0.0 to 1.0 for each 1 km grid cell to help calculate suitability depending on topographic and land use and land cover characteristics
		&lt;ul&gt;
			&lt;li&gt;value per grid cell: values from 0.0 to 1.0 (float) that are generated from&amp;nbsp;topographic and land use and land cover characteristics to inform suitability as outlined in the companion publication&lt;/li&gt;
			&lt;li&gt;crs:&amp;nbsp;EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected&lt;/li&gt;
			&lt;li&gt;nodata value:&amp;nbsp;&amp;nbsp;-3.40282e+38&lt;/li&gt;
		&lt;/ul&gt;
		&lt;/li&gt;
		&lt;li&gt;&lt;strong&gt;&amp;lt;state-name&amp;gt;_&amp;lt;ssp&amp;gt;_popproj.csv:&amp;nbsp;&lt;/strong&gt; Population projection CSV files for urban, rural, and total population (number of humans; float) for SSPs 2, 3, and 5 for&amp;nbsp;years 2010-2100&lt;/li&gt;
		&lt;li&gt;&lt;strong&gt;&amp;lt;state-name&amp;gt;_coordinates.csv:&amp;nbsp;&amp;nbsp;&lt;/strong&gt;CSV file containing the coordinates for each 1 km grid cell within the target state. File includes a header with the fields XCoord, YCoord, FID.,Where data types and field descriptions are as follows: (XCoord, float, X coordinate in meters),(YCoord, float, Y coordinate in meters),(FID, int, Unique feature id)&lt;/li&gt;
		&lt;li&gt;&lt;strong&gt;&amp;lt;state-name&amp;gt;_within_indices.txt:&amp;nbsp;&amp;nbsp;&lt;/strong&gt;text file containing a file structured as a Python list (e.g. [0, 1]) that contains the index of each grid cell when flattened from a 2D array to a 1D array for the target state.&lt;/li&gt;
		&lt;li&gt;&lt;strong&gt;&amp;lt;state-name&amp;gt;_&amp;lt;ssp&amp;gt;_params.csv:&amp;nbsp;&amp;nbsp;&lt;/strong&gt;CSV file containing the calibration parameters (alpha_rural, beta_rural, alpha_urban, beta_urban; float) for the `population_gravity` model for each year from 2010-2100 in 10-year time-steps as described in the companion publication&lt;/li&gt;
	&lt;/ul&gt;
	&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;outputs&lt;/strong&gt; contain the following:
	&lt;ul&gt;
		&lt;li&gt;&lt;strong&gt;jones_oneill&lt;/strong&gt; directory; these are&amp;nbsp;the comparison datasets used to build Figures 7 and 8 in the companion publication
		&lt;ul&gt;
			&lt;li&gt;contains three directories:&amp;nbsp; SSP2, SSP3, and SSP5 that each contain a GeoTIF representing total population (number of humans; float) at 1km resolution for years 2050 and 2100.
			&lt;ul&gt;
				&lt;li&gt;&lt;strong&gt;&amp;lt;state-name&amp;gt;_1km_&amp;lt;ssp&amp;gt;_total_&amp;lt;year&amp;gt;_jones_oneill.tif:&lt;/strong&gt;
				&lt;ul&gt;
					&lt;li&gt;value per grid cell: number of humans (float)&lt;/li&gt;
					&lt;li&gt;crs:&amp;nbsp;EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected&lt;/li&gt;
					&lt;li&gt;nodata value:&amp;nbsp;&amp;nbsp;-3.40282e+38&lt;/li&gt;
				&lt;/ul&gt;
				&lt;/li&gt;
			&lt;/ul&gt;
			&lt;/li&gt;
		&lt;/ul&gt;
		&lt;/li&gt;
		&lt;li&gt;&lt;strong&gt;model&lt;/strong&gt; directory; these are the model outputs from `population_gravity` for&amp;nbsp;SSP2, SSP3, and SSP5&amp;nbsp;that each contain a GeoTIF representing urban, rural, and total&amp;nbsp;population (number of humans; float) at 1km resolution for years 2020-2100 in 10-year time-steps.
		&lt;ul&gt;
			&lt;li&gt;&lt;strong&gt;&amp;lt;state-name&amp;gt;_1km_&amp;lt;ssp&amp;gt;_&amp;lt;urban, rural, or total&amp;gt;_&amp;lt;year&amp;gt;_jones_oneill.tif:&lt;/strong&gt;
			&lt;ul&gt;
				&lt;li&gt;value per grid cell: number of humans (float)&lt;/li&gt;
				&lt;li&gt;crs:&amp;nbsp;EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected&lt;/li&gt;
				&lt;li&gt;nodata value:&amp;nbsp;&amp;nbsp;-3.40282e+38&lt;/li&gt;
			&lt;/ul&gt;
			&lt;/li&gt;
		&lt;/ul&gt;
		&lt;/li&gt;
	&lt;/ul&gt;
	&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;zoraghein-oneill_population_gravity_national-ssp-maps.zip&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Results of the `population_gravity` model mosaicked to the National scale at a 1km resolution and the comparison Jones and O&amp;#39;Neill research.&amp;nbsp; These are used to generate Figure 6 of the companion paper
	&lt;ul&gt;
		&lt;li&gt;&lt;strong&gt;National_1km_&amp;lt;ssp&amp;gt;_&amp;lt;urban, rural, or total&amp;gt;_&amp;lt;year&amp;gt;_jones_oneill.tif:&lt;/strong&gt;

		&lt;ul&gt;
			&lt;li&gt;value per grid cell: number of humans (float)&lt;/li&gt;
			&lt;li&gt;crs:&amp;nbsp;EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected&lt;/li&gt;
			&lt;li&gt;nodata value:&amp;nbsp;&amp;nbsp;-3.40282e+38&lt;/li&gt;
		&lt;/ul&gt;
		&lt;/li&gt;
		&lt;li&gt;&lt;strong&gt;National_1km_&amp;lt;ssp&amp;gt;_&amp;lt;urban, rural, or total&amp;gt;_&amp;lt;year&amp;gt;.tif:&lt;/strong&gt;
		&lt;ul&gt;
			&lt;li&gt;value per grid cell: number of humans (float)&lt;/li&gt;
			&lt;li&gt;crs:&amp;nbsp;EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected&lt;/li&gt;
			&lt;li&gt;nodata value:&amp;nbsp;&amp;nbsp;-3.40282e+38&lt;/li&gt;
		&lt;/ul&gt;
		&lt;/li&gt;
	&lt;/ul&gt;
	&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;</subfield>
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April 17, 2020
DOI:
10.5281/zenodo.3756179

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